Antenna Optimization with a Computationally Efficient Multiobjective Evolutionary Algorithm

Authors

Matthias John, Technological University DublinFollow
Max Ammann, Technological University DublinFollow

Document Type

Article

Rights

Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence

Publication Details

In IEEE Transactions on Antennas and Propagation, 2009, Vol. 57, issue 1, pp.260-263

Abstract

An efficient multiobjective evolutionary algorithm is described for optimizing a novel spline based printed monopole antenna. The antenna geometry is based on spline outlines. Both radiating element and groundplane are simultaneously optimized by the algorithm. The resulting antenna performance is evaluated. It is shown that the evolutionary algorithm and the spline geometry can be used to efficiently generate ultrawideband antennas on limited computing resources.

DOI

https://doi.org/10.1109/TAP.2008.2009775

Recommended Citation

John, M. & Ammann, M. (2009)Antenna optimization with a computationally efficient multiobjective evolutionary algorithm. IEEE Transactions on Antennas and Propagation, Vol. 57, no. 1, pp.260-263. doi10.1109/TAP.2008.2009775